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Bi-objective energy-efficient scheduling in a seru production system considering reconfiguration of serus
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Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/s11518-018-5379-3openalex-snapshot
Cost and Service-Level-Based Model for a Seru Production System Formation Problem with Uncertain Demand
inferredcites →https://doi.org/10.1007/s11740-018-0840-1openalex-snapshot
Scheduling two interfering job sets on parallel machines under peak power constraint
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A multi-objective cellular grey wolf optimizer for hybrid flowshop scheduling problem considering noise pollution
inferredcites →https://doi.org/10.1016/j.cie.2016.11.035openalex-snapshot
Line-hybrid seru system conversion: Models, complexities, properties, solutions and insights
inferredcites →https://doi.org/10.1016/j.cie.2021.107552openalex-snapshot
Optimal cross-trained worker assignment for a hybrid seru production system to minimize makespan and workload imbalance
inferredcites →https://doi.org/10.1016/j.cor.2018.04.009openalex-snapshot
A multi-objective differential evolution algorithm for parallel batch processing machine scheduling considering electricity consumption cost
inferredcites →https://doi.org/10.1016/j.cor.2020.104917openalex-snapshot
Attaining flexibility in seru production system by means of Shojinka: An optimization model and solution approaches
inferredcites →https://doi.org/10.1016/j.jclepro.2013.07.060openalex-snapshot
An investigation into minimising total energy consumption and total weighted tardiness in job shops
inferredcites →https://doi.org/10.1016/j.jclepro.2014.07.025openalex-snapshot
Sustainable performance oriented operational decision-making of single machine systems with deterministic product arrival time
inferredcites →https://doi.org/10.1016/j.jclepro.2017.04.018openalex-snapshot
Energy-conscious unrelated parallel machine scheduling under time-of-use electricity tariffs
inferredcites →https://doi.org/10.1016/j.jclepro.2017.10.188openalex-snapshot
A new double flexible job-shop scheduling problem integrating processing time, green production, and human factor indicators
inferredcites →https://doi.org/10.1016/j.jclepro.2017.10.342openalex-snapshot
A green scheduling algorithm for flexible job shop with energy-saving measures
inferredcites →https://doi.org/10.1016/j.jclepro.2018.02.004openalex-snapshot
Efficient multi-objective optimization algorithm for hybrid flow shop scheduling problems with setup energy consumptions
inferredcites →https://doi.org/10.1016/j.jclepro.2018.02.224openalex-snapshot
Multi-object optimization of flexible flow shop scheduling with batch process — Consideration total electricity consumption and material wastage
inferredcites →https://doi.org/10.1016/j.jclepro.2018.03.254openalex-snapshot
A two-stage optimization method for energy-saving flexible job-shop scheduling based on energy dynamic characterization
inferredcites →https://doi.org/10.1016/j.jclepro.2018.05.056openalex-snapshot
Bi-objective identical parallel machine scheduling to minimize total energy consumption and makespan
inferredcites →https://doi.org/10.1016/j.jclepro.2018.06.137openalex-snapshot
A multi-objective approach to welding shop scheduling for makespan, noise pollution and energy consumption
inferredcites →https://doi.org/10.1016/j.jclepro.2018.10.048openalex-snapshot
Energy cost minimization for unrelated parallel machine scheduling under real time and demand charge pricing
inferredcites →https://doi.org/10.1016/j.jclepro.2018.10.193openalex-snapshot
Sustainable evaluation of environmental and occupational risks scheduling flexible job shop manufacturing systems
inferredcites →https://doi.org/10.1016/j.jclepro.2018.10.289openalex-snapshot
Energy- and labor-aware flexible job shop scheduling under dynamic electricity pricing: A many-objective optimization investigation
inferredcites →https://doi.org/10.1016/j.jclepro.2018.11.021openalex-snapshot
MILP models for energy-aware flexible job shop scheduling problem
inferredcites →https://doi.org/10.1016/j.jclepro.2018.11.231openalex-snapshot
Integrated green scheduling optimization of flexible job shop and crane transportation considering comprehensive energy consumption
inferredcites →https://doi.org/10.1016/j.jclepro.2019.01.166openalex-snapshot
Bi-objective green scheduling in uniform parallel machine environments
inferredcites →https://doi.org/10.1016/j.jclepro.2019.03.155openalex-snapshot
A multi-objective iterated local search algorithm for comprehensive energy-aware hybrid flow shop scheduling
inferredcites →https://doi.org/10.1016/j.jclepro.2019.04.046openalex-snapshot
Stochastic multi-objective modelling and optimization of an energy-conscious distributed permutation flow shop scheduling problem with the total tardiness constraint
inferredcites →https://doi.org/10.1016/j.jclepro.2019.06.151openalex-snapshot
Energy-efficient scheduling for multi-objective flexible job shops with variable processing speeds by grey wolf optimization
inferredcites →https://doi.org/10.1016/j.jclepro.2019.118845openalex-snapshot
A multi-objective cellular genetic algorithm for energy-oriented balancing and sequencing problem of mixed-model assembly line
inferredcites →https://doi.org/10.1016/j.jclepro.2019.118869openalex-snapshot
Bi-objective optimization approach for energy aware scheduling considering electricity cost and preventive maintenance using genetic algorithm
inferredcites →https://doi.org/10.1016/j.jclepro.2019.119070openalex-snapshot
Integrated intelligent green scheduling of sustainable flexible workshop with edge computing considering uncertain machine state
inferredcites →https://doi.org/10.1016/j.jclepro.2019.119071openalex-snapshot
The mixed production mode considering continuous and intermittent processing for an energy-efficient hybrid flow shop scheduling
inferredcites →https://doi.org/10.1016/j.jclepro.2019.119093openalex-snapshot
Infinitely repeated game based real-time scheduling for low-carbon flexible job shop considering multi-time periods
inferredcites →https://doi.org/10.1016/j.jclepro.2019.119300openalex-snapshot
Green manufacturing: Order acceptance and scheduling subject to the budgets of energy consumption and machine launch
inferredcites →https://doi.org/10.1016/j.jclepro.2019.119393openalex-snapshot
Energy-efficient scheduling in an unrelated parallel-machine environment under time-of-use electricity tariffs
inferredcites →https://doi.org/10.1016/j.jclepro.2019.119428openalex-snapshot
Scheduling of unrelated parallel machines considering sequence-related setup time, start time-dependent deterioration, position-dependent learning and power consumption minimization
inferredcites →https://doi.org/10.1016/j.jclepro.2019.119734openalex-snapshot
Multi-objective green flowshop scheduling problem under uncertainty: Estimation of distribution algorithm
inferredcites →https://doi.org/10.1016/j.jclepro.2020.120009openalex-snapshot
An optimization method for energy-conscious production in flexible machining job shops with dynamic job arrivals and machine breakdowns
inferredcites →https://doi.org/10.1016/j.jmse.2020.10.002openalex-snapshot
Minimizing makespan of a production batch within concurrent systems: Seru production perspective
inferredcites →https://doi.org/10.1016/j.jmse.2021.05.004openalex-snapshot
Solving the rotating seru production problem with dynamic multi-objective evolutionary algorithms
inferredcites →https://doi.org/10.1016/j.jmsy.2011.08.004openalex-snapshot
A new approach to scheduling in manufacturing for power consumption and carbon footprint reduction
inferredcites →https://doi.org/10.1016/j.omega.2016.01.013openalex-snapshot
Effects of key enabling technologies for seru production on sustainable performance
inferredcites →https://doi.org/10.1016/j.omega.2018.01.001openalex-snapshot
A memetic differential evolution algorithm for energy-efficient parallel machine scheduling
inferredcites →https://doi.org/10.1016/j.orl.2013.04.007openalex-snapshot
Single-machine scheduling to minimize the total earliness and tardiness is strongly NP-hard
inferredcites →https://doi.org/10.1016/j.rcim.2013.04.001openalex-snapshot
Energy-efficient scheduling for a flexible flow shop using an improved genetic-simulated annealing algorithm
inferredcites →https://doi.org/10.1016/j.resconrec.2016.12.001openalex-snapshot
Minimizing total carbon footprint and total late work criterion in flexible job shop scheduling by using an improved multi-objective genetic algorithm
inferredcites →https://doi.org/10.1080/00207540701450013openalex-snapshot
Operational methods for minimization of energy consumption of manufacturing equipment
inferredcites →https://doi.org/10.1080/00207543.2017.1284359openalex-snapshot
Line-seru conversion towards reducing worker(s) without increasing makespan: models, exact and meta-heuristic solutions
inferredcites →https://doi.org/10.1080/00207543.2017.1401236openalex-snapshot
Scheduling on a two-machine permutation flow shop under time-of-use electricity tariffs
inferredcites →https://doi.org/10.1080/00207543.2017.1414969openalex-snapshot
Production scheduling optimisation with machine state and time-dependent energy costs
inferredcites →https://doi.org/10.1080/00207543.2018.1501166openalex-snapshot
Mathematical modelling and optimisation of energy-conscious hybrid flow shop scheduling problem with unrelated parallel machines
inferredcites →https://doi.org/10.1080/00207543.2018.1504251openalex-snapshot
An improved multi-objective evolutionary algorithm based on decomposition for energy-efficient permutation flow shop scheduling problem with sequence-dependent setup time
inferredcites →https://doi.org/10.1080/00207543.2019.1581955openalex-snapshot
Green permutation flowshop scheduling problem with sequence-dependent setup times: a case study
inferredcites →https://doi.org/10.1080/00207543.2019.1669841openalex-snapshot
Operational strategies for seru production system: a bi-objective optimisation model and solution methods
inferredcites →https://doi.org/10.1080/01605682.2019.1595190openalex-snapshot
Green parallel machines scheduling problem: A bi-objective model and a heuristic algorithm to obtain Pareto frontier
inferredcites →https://doi.org/10.1080/0305215x.2017.1296437openalex-snapshot
Bi-objective scheduling on uniform parallel machines considering electricity cost
inferredcites →https://doi.org/10.1080/0951192x.2017.1337929openalex-snapshot
IoT-enabled real-time energy efficiency optimisation method for energy-intensive manufacturing enterprises
inferredcites →https://doi.org/10.1080/19761597.2010.9668694openalex-snapshot
Seru Seisan‐ an innovation of the production management Mode in Japan
inferredcites →https://doi.org/10.1109/4235.996017openalex-snapshot
A fast and elitist multiobjective genetic algorithm: NSGA-II
inferredcites →https://doi.org/10.1109/access.2018.2889372openalex-snapshot
A Cooperative Coevolution Algorithm for the Seru Production With Minimizing Makespan
inferredcites →https://doi.org/10.1109/tase.2015.2495328openalex-snapshot
Parallel Machine Scheduling Under Time-of-Use Electricity Prices: New Models and Optimization Approaches
inferredcites →https://doi.org/10.1109/tase.2016.2631491openalex-snapshot
An Improved Model for Parallel Machine Scheduling Under Time-of-Use Electricity Price
inferredcites →https://doi.org/10.1109/tcyb.2018.2796119openalex-snapshot
A Two-Phase Meta-Heuristic for Multiobjective Flexible Job Shop Scheduling Problem With Total Energy Consumption Threshold
inferredcites →https://doi.org/10.1109/tem.2017.2774281openalex-snapshot
A novel teaching-learning-based optimization algorithm for energy-efficient scheduling in hybrid flow shop
inferredcites →https://doi.org/10.1109/tsmc.2016.2616347openalex-snapshot
A Collaborative Multiobjective Fruit Fly Optimization Algorithm for the Resource Constrained Unrelated Parallel Machine Green Scheduling Problem
inferredcites →https://doi.org/10.1109/tsmc.2017.2788879openalex-snapshot
A Knowledge-Based Cooperative Algorithm for Energy-Efficient Scheduling of Distributed Flow-Shop
inferredcites →https://doi.org/10.1111/itor.12014openalex-snapshot
An implementation framework for seru production
inferredcites →https://doi.org/10.1155/2016/9748378openalex-snapshot
Formulations, Features of Solution Space, and Algorithms for Line-PureSeruSystem Conversion
inferredcites →https://doi.org/10.1177/1687814017695959openalex-snapshot
Energy-efficient job shop scheduling problem with variable spindle speed using a novel multi-objective algorithm
inferredcites →https://doi.org/10.1186/s40064-016-2445-5openalex-snapshot
Complexity of line-seru conversion for different scheduling rules and two improved exact algorithms for the multi-objective optimization
inferredcites →https://doi.org/10.1287/opre.26.6.1079openalex-snapshot
Technical Note—Optimal Single-Machine Scheduling with Earliness and Tardiness Penalties
inferredcites →https://doi.org/10.1504/ajmsa.2015.075337openalex-snapshot
Comparison of two typical scheduling rules of line-seru conversion problem
inferredcites →https://doi.org/10.1504/ejie.2022.121959openalex-snapshot
Task dispatching in reconfigurable seru production systems to minimise total earliness and tardiness
inferredcites →https://doi.org/10.3390/su10030841openalex-snapshot
Multi-Objective Flexible Flow Shop Scheduling Problem Considering Variable Processing Time due to Renewable Energy
inferredcites →https://doi.org/10.4028/www.scientific.net/amr.139-141.1415openalex-snapshot
Green Scheduling and its Solution
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.4666189openalex-extracted
Scheduling Problems in Seru Production System Considering Worker Cooperation and Learning Behavior
inferred← citeshttps://doi.org/10.1016/j.cie.2024.110399openalex-snapshot
Integrated optimization of worker assignment, batch splitting and scheduling for a hybrid assembly line-seru production system
inferred← citeshttps://doi.org/10.1016/j.ejor.2025.02.038openalex-snapshot
Lagrangian relaxation and branch-and-price algorithm for resource assignment problem in divisional seru systems
inferred← citeshttps://doi.org/10.1016/j.ijpe.2025.109769openalex-snapshot
Optimization of production scheduling and energy cost considering carbon trading strategies
inferred← citeshttps://doi.org/10.3390/pr12010038openalex-snapshot
Optimizing Production Schedules: Balancing Worker Cooperation and Learning Dynamics in Seru Systems
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